NVIDIA A10G vs NVIDIA RTX A4000, AI & Machine Learning Comparison
NVIDIA A10G wins 6 of 10 benchmarks, averaging 15.7% faster.
Both cards were measured first-party on our bench, same suite, same test rig.
What the numbers say
The gap is widest in Stable Diffusion XL, where NVIDIA A10G leads by 22% (6.38 vs 5.24 images/min); the closest fight is Qwen3-4B (12% apart); VRAM decides part of this one: NVIDIA RTX A4000 runs 137 of our 12 AI workloads while the other card runs 4, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA A10G | NVIDIA RTX A4000 | Difference |
|---|---|---|---|
| Qwen3-4B tok/s | 129.87 | 116.23 | +12% |
| Llama-3.1-8B tok/s | 86.62 | 75.52 | +15% |
| Qwen2.5-Coder-14B tok/s | 47.07 | 41.13 | +14% |
| Qwen3-32B tok/s | 22.04 | 0 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 6.38 | 5.24 | +22% |
| FLUX.1 dev images/min | 0 | 0 | n/a |
| FLUX.1 Kontext dev images/min | 0 | 0 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
| Wan 2.2 5B (720p) frames/s | 0.18 | 0 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A10G is faster on 1 of 1; NVIDIA RTX A4000 on 0.
| Workflow | NVIDIA A10G | NVIDIA RTX A4000 | Difference |
|---|---|---|---|
| Full codebase review | 21.3 min | 24.3 min | NVIDIA A10G 1.14x faster |
Specifications compared
| NVIDIA A10G | NVIDIA RTX A4000 | |
|---|---|---|
| VRAM | 24GB | 16GB |
| Architecture | Ampere | Ampere |
| Memory bandwidth | 600 GB/s | 448 GB/s |
| Boost clock | 1,710 MHz | 1,560 MHz |
| TDP | 150 W | 140 W |
| Launch MSRP | $2,800 | $999 |
| Release | 2021-11-01 | 2021-04-12 |
FAQ
- Which is better for ai & machine learning: NVIDIA A10G or NVIDIA RTX A4000?
- NVIDIA A10G performs better for ai & machine learning, winning 6 of 10 benchmarks in our suite with an average 15.7% advantage.
- What are the main hardware differences between NVIDIA A10G and NVIDIA RTX A4000?
- NVIDIA A10G has 24GB VRAM and a 150W TDP, while NVIDIA RTX A4000 has 16GB VRAM and a 140W TDP.
- Does VRAM matter more than speed between NVIDIA A10G and NVIDIA RTX A4000?
- For AI, yes, NVIDIA RTX A4000 fits 17 more of our 12 workloads than NVIDIA A10G. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.
- Where is the biggest performance difference between NVIDIA A10G and NVIDIA RTX A4000?
- Stable Diffusion XL: NVIDIA A10G leads by roughly 22% (6.38 vs 5.24 images/min) in our testing.
NVIDIA A10G full review · NVIDIA RTX A4000 full review · All AI & Machine Learning rankings